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. 2015 Jul 8;76(3):436–453. doi: 10.1177/0013164415593776

Table 2.

95% Coverage Probabilities for a Sample Size of 50 With Type 3 Distribution.

ρ
.30
.56
Unstructured
IRC k 6 12 18 24 6 12 18 24 6 12 18 24
2 DTLG .960 .960 .972 .972 .965 .968 .954 .964 .955 .967 .955 .968
PRLG .935 .944 .941 .945 .935 .954 .944 .926 .933 .952 .929 .945
PB .956 .964 .958 .961 .969 .956 .945 .942 .958 .960 .942 .953
BCa .950 .964 .964 .968 .960 .970 .954 .948 .958 .958 .952 .959
NTB .959 .956 .965 .967 .955 .969 .960 .959 .941 .962 .954 .958
BTLG .971 .974 .977 .982 .970 .987 .977 .975 .962 .977 .972 .976
3 DTLG .922 .939 .923 .947 .944 .924 .927 .939 .923 .930 .927 .933
PRLG .936 .940 .928 .949 .933 .926 .932 .932 .953 .923 .937 .929
PB .943 .945 .923 .942 .955 .921 .927 .928 .945 .933 .934 .927
BCa .929 .946 .930 .946 .938 .934 .939 .945 .929 .942 .942 .936
NTB .942 .957 .948 .961 .943 .955 .967 .958 .936 .940 .952 .952
BTLG .958 .969 .952 .965 .956 .969 .974 .968 .956 .964 .956 .960
5 DTLG .925 .936 .920 .934 .919 .930 .919 .924 .937 .934 .935 .943
PRLG .937 .940 .924 .943 .916 .935 .927 .915 .938 .917 .935 .933
PB .934 .941 .915 .936 .928 .930 .920 .922 .939 .932 .928 .937
BCa .934 .947 .917 .944 .916 .938 .919 .926 .933 .926 .933 .938
NTB .944 .952 .944 .957 .923 .951 .954 .952 .937 .943 .953 .959
BTLG .953 .960 .938 .957 .946 .968 .966 .953 .950 .951 .952 .951
7 DTLG .930 .942 .946 .942 .941 .943 .934 .921 .924 .934 .928 .936
PRLG .933 .925 .945 .922 .941 .940 .926 .922 .913 .936 .918 .927
PB .935 .941 .933 .922 .933 .936 .935 .922 .927 .933 .919 .924
BCa .924 .943 .938 .923 .926 943 .934 .932 .914 .934 .919 .929
NTB .929 .949 .956 .953 .944 .960 .952 .953 .933 .954 .954 .945
BTLG .942 .954 .952 .940 .955 .968 .958 .953 .939 .956 .943 .951

Note. For IRC = 2: skewness = 0.41 and kurtosis = −1.83. For IRC = 3, 5, 7: skewness = 0.97 and kurtosis = −.20. DTLG = delta method with logit transformation; PRLG = three-step parceling with logit transformation; PB = percentile bootstrap; BCa = biased-corrected and accelerated bootstrap; NTB = normal theory bootstrap; BTLG = bootstrap SE with logit transformation. Unacceptable coverage is bolded and outside [.925, .975]. All methods based on 2,000 bootstrap samples and 1,000 simulation replications.